Optimize

by marketcalls

Optimize is an AI Engineering skill for Claude Code, published by marketcalls in vectorbt-backtesting-skills.

200 stars43 forkson marketcalls/vectorbt-backtesting-skillsAdded 2026/09/05Repository updated 2026/07/12

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agent-skillsbacktestingmonte-carlooptimizationpythonquantstatsrobustnesstearsheetsvectorbtwalk-forward

Install in seconds

Install Optimize

Copy Optimize into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/optimize ~/.claude/skills/optimize

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/marketcalls/vectorbt-backtesting-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/optimize/SKILL.md in marketcalls/vectorbt-backtesting-skills
Installs to: ~/.claude/skills/optimize
Collection: One of 6 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Optimize does

Optimize creates VectorBT parameter-search scripts for trading strategies. It tests combinations, plots heatmaps, and compares the best results against a NIFTY benchmark.

Optimize is cataloged under AI Engineering on DirSkills. Optimize comes from a repository tagged agent-skills, backtesting, monte-carlo, optimization and python.

Documentation

README

Excerpt

Create a parameter optimization script for a VectorBT strategy.

Arguments

Parse $ARGUMENTS as: strategy symbol exchange interval

$0 = strategy name (e.g., ema-crossover, rsi, donchian). Default: ema-crossover
$1 = symbol (e.g., SBIN, RELIANCE, NIFTY). Default: SBIN
$2 = exchange (e.g., NSE, NFO). Default: NSE
$3 = interval (e.g., D, 1h, 5m). Default: D

If no arguments, ask the user which strategy to optimize.

Instructions

This is the opening of the README. Read the full README on GitHub.

Commands Optimize provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/optimize

Frequently asked about Optimize

What else does marketcalls publish alongside Optimize?
Optimize is one of 6 skills that DirSkills catalogs from marketcalls/vectorbt-backtesting-skills, the repository it ships in. Its siblings there include Quick Stats, Setup and Strategy Compare. Each one is a separate skill with its own page in this directory, installs the same way Optimize does, and is maintained by marketcalls in that same repository. The rest of the collection is listed on the marketcalls/vectorbt-backtesting-skills page.
How does Optimize compare to other AI Engineering skills?
Optimize ranks #2854 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Optimize against them. Open each page to compare what they document and how they install.